| SpatialData {EpiILMCT} | R Documentation |
Simulated epidemic data set from a distance-based SIR ILM
Description
This is a simulated epidemic data set of population size = 50 individuals that was generated using a distance-based SIR individual-level model (ILM) with power-law distance kernel. The model has no susceptible covariates and the infectivity rate is given by:
\lambda_{jt} = \alpha_{0} \sum_{i \in I_{t}}{d_{ij}^{-\beta}}
The infectious period is assumed to follow an exponential distribution with rate \lambda. The epidemic was simulated with the following parameter values: \alpha_{0} = 2.0, \beta = 3 and \delta = 2.
The data set file is an object of class "datagen" that has a list of type, kerneltype, epidat and location.
Usage
data(SpatialData)Format
An object of class “datagen” that contains the following:
- type:
-
The “SIR” compartmental framework.
- kerneltype:
-
The “distance” kernel function.
- epidat:
-
A matrix of the simulated epidemic with four columns as: the id numbers of individuals, removal times, infectious periods, and infection times.
- location:
-
A matrix of the XY coordinates of individuals.
- network:
-
A zero matrix of contact network.